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Kernel Machines for Text Classification

  • Catarina Silva
  • Bernardete Ribeiro
Part of the Studies in Computational Intelligence book series (SCI, volume 255)

Abstract

This chapter details the concept of kernel methods and presents the foundations of two paradigmatic techniques: support vector machines and relevance vector machines. Both are introduced in a text classification perspective and then results and comparisons of their application to benchmark corpora are presented.

Keywords

Support Vector Machine Support Kernel Method Training Error Relevance Vector Machine Hypothesis Space 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Catarina Silva
    • Bernardete Ribeiro

      There are no affiliations available

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